NDLI: SWRank: An Approach for Ranking Semantic Web Reversely and Consistently

Content Provider	IEEE Xplore Digital Library
Author	Gang Wu Juanzi Li
Copyright Year	2007
Description	Author affiliation: Tsinghua Univ., Beijing (Gang Wu; Juanzi Li)
Abstract	The semantic Web is a typical link-based graph consisting of resources (labeled nodes) and relations (labeled edges). Ranking facility is required in order to assist human and intelligent agent in finding appropriate resources from massive knowledge organized in the semantic Web. The complexity lies in that relations are labeled and directed, and a huge number of fine-grained resources can describe either schema or instance data. We propose SWRank as a semantic Web ranking approach which applies an object-level link analysis ranking algorithm reversely to the direction of relations and consistently across the schema graph and the data graph. Our preliminary experiment shows that the approach has a similar converge property to and more reasonable ranking result than PageRank in evaluating the importance of individual resources in the semantic Web.
Starting Page	116
Ending Page	121
File Size	512183
Page Count	6
File Format	PDF
ISBN	0769530079
DOI	10.1109/SKG.2007.81
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantic Web Algorithm design and analysis Computer science Web pages Humans Search engines Ontologies Packaging Resource description framework Intelligent agent
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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